An MCP server that enables RAG (Retrieval-Augmented Generation) on markdown documents by converting them to embedding vectors and performing vector search using DuckDB.

A comprehensive suite of Model Context Protocol servers designed to extend AI agent Claude's capabilities with integrations for knowledge management, reasoning, advanced search, news access, and workspace tools.

An advanced MCP server that implements sophisticated sequential thinking using a coordinated team of specialized AI agents (Planner, Researcher, Analyzer, Critic, Synthesizer) to deeply analyze problems and provide high-quality, structured reasoning.

A customized MCP server that enables integration between LLM applications and documentation sources, providing AI-assisted access to LangGraph and Model Context Protocol documentation.

A custom Model Context Protocol adapter for MediaWiki and WikiBase APIs

A Node.js implementation for vector search using LanceDB and Ollama's embedding model.

A server that connects Claude to your documentation via Inkeep's API, enabling AI-powered interactions with your documentation content.

Connect your Sanity content to AI agents. Create, update, and explore structured content using Claude, Cursor, and VS Code via the Model Context Protocol. Transform content operations from complex queries to simple conversations—giving your team superpowers without sacrificing structure.

A Model Context Protocol server for creating, updating, and querying semantic relationships (cyberlinks) on Cosmos-based blockchains through integration with Cursor IDE and Claude Desktop.

Enhances Claude AI with persistent memory storage for Infrastructure-as-Code components, supporting version tracking and relationship mapping for Terraform and Ansible resources.

Maintains consistent LLM interaction styles across conversations by storing emoji-based context keys (emojikeys) that can be used across different devices and applications.

A Model Context Protocol server implementation that enables seamless integration with Claude and other MCP-compatible clients to access Prem AI's language models, RAG capabilities, and document management features.

An implementation of the Model Context Protocol for the Opik platform that provides a unified interface for accessing Opik's capabilities, supporting multiple transport mechanisms for flexible integration with IDEs and other environments.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

A server for managing project documentation and context across Claude AI sessions through global and branch-specific memory banks, enabling consistent knowledge management with structured JSON document storage.

Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.

A Model Context Protocol server that enables semantic search and RAG over your Apple Notes, allowing AI assistants like Claude to search and reference your notes during conversations.

Provides a centralized MCP-based system for managing and accessing multi-project memory banks remotely, with features like project isolation, file structure validation, and type-safe operations.